Data Engineer

Overview

Design and deploy data pipelines and dashboards for global baggage handling systems

Key Responsibilities

• data enablement
• dashboard design
• agile scrum
• feedback loop
• stakeholder communication
• pipeline automation

Tasks

-You leverage data by making it available for other teams within our department as well to enable our platform vision. -You will design and implement data & dashboarding solutions to maximize customer value. -You will be part of an agile team that encourages you to speak up freely about improvements, concerns, and blockages. As part of Scrum methodology, you will independently create stories and participate in the refinement process. -You collect feedback and always search for opportunities to improve the existing standardized product. -You will take the lead in communication with different stakeholders that are involved in the projects that are being deployed. -You will deploy and automate the data pipelines and dashboards to enable further project implementation. -Execute projects from conception through client handover with a positive contribution on technical performance and the organization.

Requirements

• databricks
• sql
• python
• docker
• azure
• spark

What You Bring

-Experience developing end to end data pipelines using technologies like Databricks. -Skilled at breaking down large problems into smaller, manageable parts. -Experience in creating APIs is a plus. -Experience in data quality management and monitoring is a plus. -Experience in deploying services as containers (e.g. Docker, Podman). -Strong experience with SQL & Python, with hands-on experience in data modeling. -Strong communication skills in English. -Bachelor's or master's degree in computer science, IT, or equivalent and a minimum of 4+ years of experience building and deploying complex data pipelines and data solutions. -Experience in working with cloud services (preferably with Azure). -Hands-on experience with programming in Python or Java, and proficiency in Test-Driven Development using pytest. -Experience in guiding, motivating and training engineers. -Communicate and work closely with other groups within Vanderlande and the project team. -Experience with streaming and/or batch storage (e.g. Kafka, Oracle) is a plus. -Experience with Pyspark or Spark SQL to deal with distributed data. -Experience with visualization software, preferably Splunk (or else PowerBI, Tableau, or similar). -You enjoy an independent and self-reliant way of working with a proactive style of communication to take ownership to provide the best possible solution. -Experience with data schemas (e.g. JSON/XML/Avro).

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Benefits

-You embrace working in an international, diverse team, with an open and respectful atmosphere.

About Vanderlande

-Grew under the name Rapistan Lande in the 1960s, adopting 'Vanderlande' in 1989 and expanding internationally into material-handling automation. -Delivers integrated solutions—innovative systems, smart software, and lifecycle services—to warehouses, airports, and parcel hubs. -Its baggage systems operate in numerous airports, moving a large volume of bags annually. -Parcel systems sort millions of items daily. -FY2024 net revenue reached about €2.2 billion, supported by a healthy order book and steady intake. -Typical projects include large-scale airport baggage halls, e-commerce warehouse sortation, and parcel distribution hubs. -Specializes in airport baggage handling, warehouse automation, and parcel-sorting systems—trusted by top global retailers. -Unusual fact: 9 of the 15 largest food retailers rely on its warehouse systems, processing deliveries for same-day promises worldwide.

Sector Specialisms